… This review uses 132 text classification papers which will allow … in different areas concerned
with text classification. The paper is … was analyzed, by comparing the performances of a …

… This paper work shows the systematic comparison of DBN, CNN, and RNN on text classification
tasks. Finally, we show the results of deep models by research experiment. The aim of …

… , we give a comprehensive review on feature selection techniques for text classification.
We … measures used in text classification. Then, we review the most popular text classifiers, …

… Lately, deep learning approaches have achieved surpassing results in comparison to …
In this section, we review some basic random projection techniques. As shown in Figure 5, …

… text document such as the following exemplary movie review, drawn … classification, the
goal of the text classification methods would be to detect the emotion conveyed through this text …

… a comprehensive review of more than 150 deep learning--based models for text classification
… of more than 40 popular datasets widely used for text classification. Finally, we provide a …

… Unlike existing text classification reviews, we conclude existing models from traditional models
… performance on many text classification benchmarks comparing with traditional models. …

… and comparison between different classification techniques. … research of text classification
objects to enhance the quality of text … Furthermore, text classification (TC) aids users’ hold their …

… detailed explanation of the classification step. This paper offers a concise review of recent
text classification models, with emphasis on the flow of data, from raw text to output labels. We …

… It is able to cope with NLP tasks such as supervised text classification without human …
We first present BERT and a review on classical NLP approaches. Then, we empirically test …